Call for Paper

CAE solicits original research papers for the July 2023 Edition. Last date of manuscript submission is June 30, 2023.

Read More

Document Retrieval using Multilingual Keywords

Deepika Singh T., Meghna Peswani, Piyush Mantri, Sagar Bhojwani. Published in Databases.

Communications on Applied Electronics
Year of Publication: 2015
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Deepika Singh T., Meghna Peswani, Piyush Mantri, Sagar Bhojwani

Deepika Singh T., Meghna Peswani, Piyush Mantri and Sagar Bhojwani. Article: Document Retrieval using Multilingual Keywords. Communications on Applied Electronics 3(8):5-9, December 2015. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

	author = {Deepika Singh T. and Meghna Peswani and Piyush Mantri and Sagar Bhojwani},
	title = {Article: Document Retrieval using Multilingual Keywords},
	journal = {Communications on Applied Electronics},
	year = {2015},
	volume = {3},
	number = {8},
	pages = {5-9},
	month = {December},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}


Maintenance of information is a serious issue. Easy retrieval of information is often deprived when it is needed, and it is not always feasible to remember the exact file name when searching for a specific document. To address this issue keywords can be used in a system that help in retrieving the desired files by ensuring proper management of data. The designed system will help the user to retrieve data instantly and efficiently. A list of multilingual keywords is defined for every document on the database. The user input keywords are compared with the keywords from the database and the relevant searches are formulated in the form of query which is then output to the user as a list of relevant documents which have been retrieved. This paper will give an in depth knowledge on how keywords in more than one language can be used to access data instantly and effectively.


  1. Using Structured Queries for Keyword Information Retrieval; Rajasekar Krishnamurthy Sriram Raghavan Shiva Kumar Vaithyanathan Huaiyu Zhu IBM Almaden Research Center, San Jose, CA 95120
  2. Toward industrial-strength keyword search systems over relational data; Baid, A.; Rae, I.; Anhai Doan; Naughton, J.F.; Comput. Sci. Dept., Univ. of Wisconsin, Madison, WI, USA.
  3. Callan, J. P. and W. Bruce Croft. An Evaluation of Query Processing Strategies using TIPSTER collections. In Proceedings of ACM SIGIR International Conference on Research and Development in Information Retrieval, 347-356
  4. A.Hulth, "Improved Automatic Keyword Extraction Given More Linguistic Knowledge," In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP'03), 2003.
  5. P. Turney, "Learning algorithms for keyphrase extraction," Information Retrieval, vol. 2, no. 4, 303-336, 2000.
  6. J. Fry, "Parallel Japanese-English corpus," [Online], Available at
  7. P.Resnik and N.A.Smith,"TheWebasaparallel corpus,"Computational Linguistics, vol. 29, no. 3, 349 - 380, 2003.
  8. D. D. Lewis, Y. Yang, T. Rose, and F. Li, "RCVI: A New Benchmark Collection for Text Categorization Research," Journal of Machine Learning Research, vol. 5, 361-397, 2004.
  9. Kumar Sourabh Vibhakar Mansotra, “Factors Affecting the Performance of Hindi Language searching on web:  An Experimental Study”, International Journal Of Scientific & Engineering Research, Volume 3, Issue 4, April-2012 1 ISSN 2229-5518, pp-1-15. 
  10. Kumar Sourabh, Vibhakar Mansotra, “An Experimental Analysis on the Influence of English on Hindi  Language Information Retrieval”, International Journal of Computer Applications (0975 – 8887) Volume 41–  No.11, March 2012 
  11. Roger Bradford, John Pozniak, “Combining Modern Machine Translation Software  with LSI for Cross-lingual Information Processing”, 2014 11th International Conference on Information  Technology: New Generations, pp-65-72.
  12. Maria Pia di Buono, Mario Monteleone, Federica, Johanna Monti, “Knowledge Management and Cultural  Heritage Repositories Cross-Lingual Information Retrieval Strategies”, 2013 IEEE, pp-295-302. 
  13. Sandeep Chaware, 2Srikantha Rao,”Ontology Supported Inference System for Hindi and  Marathi”, 2012 IEEE
  14. Fuminori Kimura, Akira Maeda, Kenji Hatano, Jun Miyazaki, “Cross-Language Information Retrieval by  Domain Restriction using Web Directory Structure”, Proceedings of the 41st Hawaii International Conference  on System Sciences – 2008, pp-1-8. 
  15. Hassan Alam, Aman Kumar, “Multi-Lingual Author Identification and Linguistic Feature Extraction – a  Machine Learning Approach”, 2013 IEEE, pp-386


Keyword mapping, multilingual, indexing, information retrieval